Analysis of signals from vortex flowmeters

Amadi-Echendu, Joe; Zhu, Houjuan; Higham, E.H.

doi:10.1016/0955-5986(93)90029-i

Cited by 26 publications

(10 citation statements)

References 2 publications

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“…Kawano et al [11] improved the signalto-noise ratio by using an adaptive low-signal-cutoff discriminator function. Amadi-Echedu et al [12,13] applied signal processing and system identification techniques to enhance the measurement quality of the vortex flowmeter. Pankanin and Grzegorz [14] optimized the bluff body geometry and the sensor location to improve the frequency stability and the linearity of the flowmeter characteristic.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigations of Strouhal number for flows past dual triangulate bluff bodies

Peng

Chen

2008

Flow Measurement and Instrumentation

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Section: Introductionmentioning

confidence: 99%

Experimental investigations of Strouhal number for flows past dual triangulate bluff bodies

Peng

Chen

2008

Flow Measurement and Instrumentation

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“…In the expression (3) of the algorithm of St: l is the length of the object characteristics, v is the average velocity and f is the frequency at the local fluid pulsation frequency. According to different objects of medium, the St still has the following formula: Through the above graph, we can see clearly that Karman vortices is proportional to the fluid velocity when the straight part in St 0.17 [9], which means that the straight part is linear measurement range for vortex flowmeter. Therefore, we can get the volume or quality through the fluid as long as detecting the Karman vortices.…”

Section: The Theory Of Karman Vortex Street and Flow Calculation mentioning

confidence: 99%

“…Therefore, how to determine the K becomes the primary thing which we have to consider. The following formula is K: [8,9]. OF THE VORTEX FLOWMETER BASED ON TWO-PHASE FLOW According to the Figure 2, we know that there is also a relationship between principles of Reynolds number about the fluid flow condition inside the pipe and St.…”

Section: The Theory Of Karman Vortex Street and Flow Calculation mentioning

confidence: 99%

Frequency Processing And Temperature-Pressure Compensation Of The Vortex Flowmeter Based On Two-Phase Flow

Zhang

Yonghui

2014

International Journal on Smart Sensing and Intelligent Systems

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Aiming at a new type and multi-functional intelligent vortex flowmeter integrating system, which implicates whether it is liquid, gas, steam or the mixture of oil and gas, or in special conditions such as high temperature, high pressure, the medium can be measured intelligently. Especially for mixed media by TPF (Two-phase Flow), such as oil and gas, water vapor, firstly separates the mixed fluid through the gas-liquid separation device, and then rolls up the vortex signal, temperature and pressure of separated fluid into one, and finally a stable and accurate result is obtained by inputting the mixed signal through the integrating system. Thus, the applicability and reliability of the flowmeter can be greatly enhanced, which ensures the authenticity and stability of the measurement data about the fluid.

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“…But it has poor anti-noisedisturbance ability to the pipe vibrations and fluid turbulence in the industrial practical applications, which influences the measurement accuracy dramatically. Many efforts on the sensor structure and signal processing have been made to improve the performance of this detection in recent years [3][4][5][6][7]. Another shortcoming of the method is that the signal amplitude is uncertain because of the turbulence and other disturbances (see also Figs.…”

Section: Introductionmentioning

confidence: 99%